AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

Ms SQL Girl

FEBRUARY 3, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Julie Koesmarno, SQL Server MVP, MCSE Data Platform, MCSE Business Intelligence, Microsoft Certified Trainer, is a SQL Server and BI consultant, with a Bachelor’s degree in IT.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Domino Data Lab

FEBRUARY 4, 2019

To outline that caveat, I count four main points in the article describing necessary conditions which a successful organization must put into practice: Position data science as its own entity—make it its own department, reporting to the CEO. Without delving into economic forecast techniques such as J curves, GPTs, etc.,

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66